Cantitate/Preț
Produs

Building Big Data Applications

Autor Krish Krishnan
en Limba Engleză Paperback – 14 noi 2019
Building Big Data Applications helps data managers and their organizations make the most of unstructured data with an existing data warehouse. It provides readers with what they need to know to make sense of how Big Data fits into the world of Data Warehousing. Readers will learn about infrastructure options and integration and come away with a solid understanding on how to leverage various architectures for integration. The book includes a wide range of use cases that will help data managers visualize reference architectures in the context of specific industries (healthcare, big oil, transportation, software, etc.).


  • Explores various ways to leverage Big Data by effectively integrating it into the data warehouse
  • Includes real-world case studies which clearly demonstrate Big Data technologies
  • Provides insights on how to optimize current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements
Citește tot Restrânge

Preț: 30714 lei

Preț vechi: 38137 lei
-19% Nou

Puncte Express: 461

Preț estimativ în valută:
5878 6201$ 4899£

Carte tipărită la comandă

Livrare economică 26 decembrie 24 - 09 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780128157466
ISBN-10: 0128157461
Pagini: 242
Dimensiuni: 191 x 235 mm
Greutate: 0.42 kg
Editura: ELSEVIER SCIENCE

Public țintă

Data analysts, data managers, researchers, and engineers who need to deal with large and complex sets of data; masters level students in data analytics programs

Cuprins

1. Big Data Introduction
2. Infrastructure and Technology
3. Building Big Data Applications
4. Scientific Research Applications and Usage
5. Pharmacy Industry Applications and Usage
6. Visualization, Storyboarding & Applications
7. Banking Industry Applications and Usage
8. Travel and Tourism Industry Applications and Usage
9. Governance of Building Big Data Applications
10. Delivery of Applications
11. Data Discovery with Machine Learning
Appendix: Use Cases from Industry Vendors